Integrating Reinforcement Learning with Visual Generative Models: Foundations and Advances

Recent advancements in integrating reinforcement learning with generative models are paving the way for more realistic visual content creation. This approach addresses the limitations of traditional training methods that often fail to align with human perception and physical realism. By optimizing these models through reinforcement learning, researchers can enhance the quality and accuracy of synthesized images, videos, and 3D structures, making this development significant for various applications in technology and entertainment.